Brain-Inspired Golden Chip Free Hardware Trojan Detection

Since 2007, the use of side-channel measurements for detecting Hardware Trojan (HT) has been extensively studied. However, the majority of works either rely on a golden chip, or they rely on methods that are not robust against subtle acceptable changes that would occur over the life-cycle of an inte...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2021, Vol.16, p.2697-2708
Main Authors: Faezi, Sina, Yasaei, Rozhin, Barua, Anomadarshi, Faruque, Mohammad Abdullah Al
Format: Article
Language:English
Subjects:
anomaly detection
Brain
Fabrication
Hardware
Hardware Trojan
hierarchical temporal memory
Integrated circuit modeling
Integrated circuits
Malware
side-channel analysis
Supply chains
Training
Transistors
Trojan horses
unsupervised training
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Summary:Since 2007, the use of side-channel measurements for detecting Hardware Trojan (HT) has been extensively studied. However, the majority of works either rely on a golden chip, or they rely on methods that are not robust against subtle acceptable changes that would occur over the life-cycle of an integrated circuit (IC). In this paper, we propose using a brain-inspired architecture called Hierarchical Temporal Memory (HTM) for HT detection. Similar to the human brain, our proposed solution is resilient against natural changes that might happen in the side-channel measurements while being able to accurately detect abnormal behavior of the chip when the HT gets triggered. We use a self-referencing method for HT detection, which eliminates the need for the golden chip. The effectiveness of our approach is evaluated using TrustHub benchmarks, which shows 92.20% detection accuracy on average.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2021.3062989